DNN Model Optimization Engineer

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Seoul, South KoreaRecently posted

Apply on DeepX's career page

Market pay check

Matched to Computer systems and software professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Analyze DNN model operations and develop optimization and quantization techniques.
Research and apply GPU-level optimization methods including tracking academic trends.
Study and develop optimization methods for modern DNN models.

What they want

Experience training and optimizing deep learning models using PyTorch or TensorFlow.
Hands-on experience with recent DNN models such as object detection,LLMs,diffusion models.
Experience with at least one model compression technique: quantization,pruning,knowledge distillation.

Nice to have

Contributions to open source software.
Experience optimizing and deploying DNN models across CPU,GPU,FPGA platforms.
Experience using open-source toolkits such as OpenVINO,AIMET.

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Korean requirement not stated
English friendliness: High: JD in English, foreign-friendly signals
Context: Pre-IPO semiconductor startup with global investor base and English-primary technical environment; visa sponsorship expected but verify with recruiter given domestic-company structure.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

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